基于多目标优化方法的自然灾害疏散规划:孟加拉国罗兴亚难民危机

Md. Ridwanur Rahman, Samia Zakir Sarothi, Tanvir Mustafy
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引用次数: 0

摘要

罗兴亚难民是当前国际社会令人担忧的人道主义危机。这些难民中的大多数生活在库图帕隆-巴鲁卡里,科克斯巴扎尔地区高度拥挤,每年的灾害(如山体滑坡、旋风、洪水)使他们的生命处于极大的危险之中。从这个角度来看,本研究旨在利用AMOSA[1]、NSGA-II[2]和NMGA[2]三种不同的多目标优化技术,提出基于位置分配的罗兴亚难民营疏散方案。GIS还与优化技术相结合。我们选择Kutupalong-Balukhali扩建基地的8E营地作为我们的案例研究区域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evacuation Planning In Natural Disaster Using Multi Objective Optimization Approach: The Rohingya Refugee Crisis in Bangladesh
Introduction The Rohingya refugee is an alarming humanitarian crisis in the current world community. Majority of these refugees are living in Kutupalong-Balukhali, Cox’s Bazar under high congestion and annual disasters (i.e. landslide, cyclones, flood) have put their life in great risk. From this perspective, the study aims on proposing location-allocation based evacuation plan for the Rohingya camp using three different multi objective optimization techniques namely AMOSA [1], NSGA-II [2] and NMGA [2]. GIS is also integrated with the optimization techniques. We selected Camp 8E of the Kutupalong-Balukhali Expansion Site as our case study area.
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